Use when targeting ACM International Conference on Multimedia (ACM MM) or deciding whether a computer-science manuscript fits this venue. Encodes conference fit, framing, evidence bar, submission-cycle checks, rebuttal posture, and desk-reject risks for multimedia.
SkillScore82Maintained
Automatic
◆Research pack
Last verified 9/1/2026
What it changes
Passed 18 of 22 test cases with the skill, and 3 of 22 without it.
Without skill14%
With skill82%
Checks it passed that the model alone missed
Classifies contribution type as algorithm.
Classifies the contribution type as algorithm.
Uses standard bracketed keys including '[Fit]'.
and 17 more in the full report
16 fixed2 passed either way3 still failing1 broke
Pass-rate lift
+68 pp
Tokens
+43%
Agent turns
0%
Response time
-32%
Model gemini-3.6-flashMeasured 9/1/2026v118 of 22 cases passed with skill
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 16 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 16
Prompt
We present a 2D U-Net variant for segmenting kidney tumors in clinical ultrasound scans, evaluated on 50 local hospital patients. Is ACM MM a good venue for this manuscript?
What was checked, without and with the skill
Checked
Without skill
With skill
Rates venue fit as low due to medical image segmentation without multimedia interaction.
Passed
Passed
Suggests re-routing to a biomedical imaging venue such as ISBI.
Passed
Passed
Uses bracketed labels such as '[Fit]' in the response.
Missed
Passed
case-13 · gemini-3.6-flash · 9/1/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md103 linessingle file
ACM International Conference on Multimedia (ACM MM)
Conference positioning
ACM International Conference on Multimedia (ACM MM) is a top computer-science conference venue for multimedia retrieval, generation, multimodal learning, audio-video-language systems, and media applications. It rewards a multimodal or media paper where the contribution spans modalities and evaluation protocols. Treat this skill as a fit / venue-selection / re-framing tool for conference submission strategy, not as a substitute for the current year's CFP, author kit, ethics policy, or submission portal.
Because CS conferences change deadlines, templates, page limits, review workflow, artifact rules, AI-use policy, and rebuttal formats every cycle, always verify the live official instructions before making a submission-ready recommendation. Start from the official source anchor recorded for this venue in ../../resources/conference-roster.md and ../../resources/official-source-map.md.
When to trigger
The author names ACM MM / ACM International Conference on Multimedia as the target venue.
A manuscript in multimedia retrieval needs a conference-fit read before being formatted or submitted.
The paper must be re-framed from journal style or arXiv style into a selective CS conference narrative.
The author needs an evidence-gap, anonymity, artifact, rebuttal, or re-routing diagnosis for this venue.
Scope & topic fit
Core fit: multimedia retrieval, generation, multimodal learning, audio-video-language systems, and media applications.
Best submissions make a precise contribution type visible: algorithm, theorem, system, dataset, benchmark, empirical finding, design artifact, tool, or socio-technical analysis.
The paper should explain why the result matters to ACM MM's reviewers, not just why it is interesting to the authors' lab or product context.
Position related work against the most recent conference-cycle papers in this venue and its closest siblings; stale comparisons are a common early-review weakness.
If the contribution is interdisciplinary, state which part is CS research and which part is domain evidence.
Venue-specific calibration
Reviewer lens: Treat ACM MM as a multimedia venue whose reviewers expect the scope and evidence to match its own community. Do not submit a generic CS paper until the introduction names the exact subcommunity, contribution type, and proof or empirical standard.
Contribution hook to foreground: the venue-specific contribution bar.
Scope vocabulary to use naturally in the abstract and introduction: multimedia retrieval, generation, multimodal learning, audio-video-language systems, and media applications.
Official anchor domain: www.sigmm.org. Quote annual rules only after opening that source and the current-year CFP/author kit.
Close-neighbor routing guardrail
Use this profile only when the manuscript's central contribution is genuinely in multimedia
and the author can say why ACM MM reviewers are the primary audience, not merely a
convenient deadline.
Closest roster neighbors to compare before final routing: international-conference- on-3d-vision (3DV), ieee-international-symposium-on-biomedical-imaging (ISBI), acm- international-conference-on-multimedia-retrieval (ICMR), acm-siggraph (SIGGRAPH). Break
ties by contribution type, evidence shape, reviewer community, and the current official CFP
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